Join us on March 9, 11am EST for an interactive webcast where we share best practices in IIoT development and explain how data modeling can be best applied when building complex IIoT solutions.
When creating an Industrial Internet of Things (IIoT) application, many developers start by first thinking about connectivity, sensors, or even the user interface. But what about the Data Model? The Data Model is the basic structure of your information and how you store, manipulate, and interact with it. Often, this is left to later stages with the hopes that it grows organically out of the application’s needs.
Best practices for IIoT application development recommend that the Data Model is one of the first things to think about. Decide who needs to interact with the data and what specific requirements they’ll have. Think about modularity, reusability and future updates. Consider how your application’s data will interface with external system and what impact external data has for the “standardization” of your Data Model.
Join us for an interactive webcast where we share best practices in IIoT development and explain how data modeling can be best applied when building complex IIoT solutions.
What you’ll take away:
A quick introduction into Data Modeling, its benefits, and when to use it
A better understanding of the unique requirements of IIoT applications and best practices to help you get started designing your data model
A primer on the ThingWorx Thing Model and how to use it to set up the structure of your IIoT application
Register todayto learn everything you need to know about designing a data model for your IIoT application in less than 60 minutes.